IBM builds the world’s fastest HPC servers

IBM®, NVIDIA®, Mellanox®, and Red Hat® have worked together to create Summit and Sierra, high performance computing systems built with IBM POWER9™ processors and IBM Storage. Ranked number 1 and number 2 in the world, they deliver massive HPC scalability on systems built with components available for any business.

The POWER9™ HPC advantage

Built from the ground-up for data intensive workloads, IBM POWER9 is the only processor with state-of-the-art I/O subsystem technology, including next-generation NVIDIA NVLink, PCIe Gen4, and OpenCAPI—to solve your toughest challenges.

Industry-leading solutions to optimize HPC systems

IBM provides a range of HPC infrastructure solutions that work together to provide computational power, workload efficiency, and ease of management, helping you move into the future of HPC.

Built for HPC & enterprise AI

The IBM Power Systems™ AC922 offers the fastest way to deploy the accelerated databases and deep learning frameworks required to gain greater insight from your data, and to fuel new thinking and capabilities across your organization.

Support massive amounts of data

IBM Elastic Storage Servers supports HPC workloads with up to 40GB/s of throughput and scale-out to exabytes of storage, eliminating silos and simplifying management, making it easy to gain insight from your data pipeline.

Pushing the boundaries of supercomputing

Resources

The year of POWER9

It didn’t take long for POWER9 to catch on, with some of the biggest names in technology recognizing its benefits. “I have no doubts that the POWER9 chip and the AC922 server crush machine learning and HPC workloads, one of the sweetest spots in the industry,” said tech industry analyst Patrick Moorhead in Forbes last December[1].

Mind the gap

IDC predicts that we are approaching the end of the homogeneous data center because non-x86 processors are bridging the performance gap that AI applications have revealed—especially deep learning systems, which parse exponentially greater amounts of data— and it has become evident that standard CPUs cannot sufficiently execute on AI tasks.